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import numpy as np
try:
from pandas._libs.tslibs.parsing import (
_does_string_look_like_datetime,
concat_date_cols,
)
except ImportError:
# Avoid whole benchmark suite import failure on asv (currently 0.4)
pass
class DoesStringLookLikeDatetime:
params = (["2Q2005", "0.0", "10000"],)
param_names = ["value"]
def setup(self, value):
self.objects = [value] * 1000000
def time_check_datetimes(self, value):
for obj in self.objects:
_does_string_look_like_datetime(obj)
class ConcatDateCols:
params = ([1234567890, "AAAA"], [1, 2])
param_names = ["value", "dim"]
def setup(self, value, dim):
count_elem = 10000
if dim == 1:
self.object = (np.array([value] * count_elem),)
if dim == 2:
self.object = (
np.array([value] * count_elem),
np.array([value] * count_elem),
)
def time_check_concat(self, value, dim):
concat_date_cols(self.object)
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